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GPGPU accelerated fast convolution back-projection for radar image reconstruction

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4 Author(s)
Bin Zhou ; Department of Electronic Engineering, Tsinghua University, Beijing 100084, China ; Yingning Peng ; Chunmao Yeh ; Jun Tang

This paper describes a parallel fast convolution back-projection algorithm design for radar image reconstruction. State-of-the-art general purpose graphic processing units (GPGPU) were utilized to accelerate the processing. The implementation achieves much better performance than conventional processing systems, with a speedup of more than 890 times on NVIDIA Tesla C1060 supercomputing cards compared to an Intel P4 2.4 GHz CPU. 256×256 pixel images could be reconstructed within 6.3 s, which makes real-time imaging possible. Six platforms were tested and compared. The results show that the GPGPU super-computing system has great potential for radar image processing.

Published in:

Tsinghua Science and Technology  (Volume:16 ,  Issue: 3 )